• DocumentCode
    2822275
  • Title

    PCA Based Statical Shape Model of the Spleen

  • Author

    Tateyama, Tomoko ; Foruzan, Amir Hossein ; Chen, Yen-wei

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan
  • Volume
    6
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    36
  • Lastpage
    39
  • Abstract
    Statistical shape model (SSM) is to model the shape variation of an object. The statistical shape models are constructed by analysis of the positions of a set of landmark points based and use the surface information. In this paper, we propose a new PCA based statistical shape modeling technique and its application to medical applications. In the proposed method, boundary points of each slice are used as surface points and distance of these points to the corresponding slice center are used to represent the shape instead of their coordinates.
  • Keywords
    feature extraction; image representation; medical image processing; principal component analysis; solid modelling; PCA; boundary points; medical applications; object shape variation; shape representation; spleen; statistical shape modeling technique; surface points extraction; Biomedical equipment; Educational institutions; Information analysis; Information science; Liver; Medical services; Principal component analysis; Sampling methods; Shape; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.695
  • Filename
    5363646